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Leveraging Rationales to Improve Human Task Performance

Leveraging Rationales to Improve Human Task Performance

International Conference on Intelligent User Interfaces (IUI), 2020
11 February 2020
Devleena Das
Sonia Chernova
ArXiv (abs)PDFHTML

Papers citing "Leveraging Rationales to Improve Human Task Performance"

17 / 17 papers shown
Explainable Reinforcement Learning Agents Using World Models
Explainable Reinforcement Learning Agents Using World Models
Madhuri Singh
Amal Alabdulkarim
Gennie Mansi
Mark O. Riedl
338
2
0
12 May 2025
Leveraging Machine-Generated Rationales to Facilitate Social Meaning
  Detection in Conversations
Leveraging Machine-Generated Rationales to Facilitate Social Meaning Detection in Conversations
Ritam Dutt
Zhen Wu
Kelly Shi
Divyanshu Sheth
Prakhar Gupta
Carolyn Rose
319
4
0
27 Jun 2024
How Human-Centered Explainable AI Interface Are Designed and Evaluated:
  A Systematic Survey
How Human-Centered Explainable AI Interface Are Designed and Evaluated: A Systematic Survey
Thu Nguyen
Alessandro Canossa
Jichen Zhu
212
15
0
21 Mar 2024
Decision Theoretic Foundations for Experiments Evaluating Human
  Decisions
Decision Theoretic Foundations for Experiments Evaluating Human Decisions
Jessica Hullman
Alex Kale
Jason D. Hartline
279
5
0
25 Jan 2024
Decoding AI's Nudge: A Unified Framework to Predict Human Behavior in
  AI-assisted Decision Making
Decoding AI's Nudge: A Unified Framework to Predict Human Behavior in AI-assisted Decision MakingAAAI Conference on Artificial Intelligence (AAAI), 2024
Zhuoyan Li
Zhuoran Lu
Ming Yin
262
23
0
11 Jan 2024
In Search of Verifiability: Explanations Rarely Enable Complementary
  Performance in AI-Advised Decision Making
In Search of Verifiability: Explanations Rarely Enable Complementary Performance in AI-Advised Decision MakingThe AI Magazine (AI Mag.), 2023
Raymond Fok
Daniel S. Weld
432
91
0
12 May 2023
Rationalization for Explainable NLP: A Survey
Rationalization for Explainable NLP: A Survey
Sai Gurrapu
Ajay Kulkarni
Lifu Huang
Ismini Lourentzou
Laura J. Freeman
Feras A. Batarseh
347
58
0
21 Jan 2023
Algorithmic Decision-Making Safeguarded by Human Knowledge
Algorithmic Decision-Making Safeguarded by Human KnowledgeSocial Science Research Network (SSRN), 2022
Yi Xiong
Mingya Hu
Siyuan Li
176
5
0
20 Nov 2022
Towards Human-centered Explainable AI: A Survey of User Studies for
  Model Explanations
Towards Human-centered Explainable AI: A Survey of User Studies for Model ExplanationsIEEE Transactions on Pattern Analysis and Machine Intelligence (TPAMI), 2022
Yao Rong
Tobias Leemann
Thai-trang Nguyen
Lisa Fiedler
Peizhu Qian
Vaibhav Unhelkar
Tina Seidel
Gjergji Kasneci
Enkelejda Kasneci
ELM
405
200
0
20 Oct 2022
Experiential Explanations for Reinforcement Learning
Experiential Explanations for Reinforcement Learning
Amal Alabdulkarim
Madhuri Singh
Gennie Mansi
Kaely Hall
Mark O. Riedl
Mark O. Riedl
OffRL
578
7
0
10 Oct 2022
Do People Engage Cognitively with AI? Impact of AI Assistance on
  Incidental Learning
Do People Engage Cognitively with AI? Impact of AI Assistance on Incidental LearningInternational Conference on Intelligent User Interfaces (IUI), 2022
Krzysztof Z. Gajos
Lena Mamykina
222
146
0
11 Feb 2022
Subgoal-Based Explanations for Unreliable Intelligent Decision Support
  Systems
Subgoal-Based Explanations for Unreliable Intelligent Decision Support SystemsInternational Conference on Intelligent User Interfaces (IUI), 2022
Devleena Das
Been Kim
Sonia Chernova
371
13
0
11 Jan 2022
Towards a Science of Human-AI Decision Making: A Survey of Empirical
  Studies
Towards a Science of Human-AI Decision Making: A Survey of Empirical Studies
Vivian Lai
Chacha Chen
Q. V. Liao
Alison Smith-Renner
Chenhao Tan
344
226
0
21 Dec 2021
Interpretable Directed Diversity: Leveraging Model Explanations for
  Iterative Crowd Ideation
Interpretable Directed Diversity: Leveraging Model Explanations for Iterative Crowd Ideation
Yunlong Wang
Priyadarshini Venkatesh
Brian Y. Lim
404
30
0
21 Sep 2021
The Who in XAI: How AI Background Shapes Perceptions of AI Explanations
The Who in XAI: How AI Background Shapes Perceptions of AI ExplanationsInternational Conference on Human Factors in Computing Systems (CHI), 2021
Upol Ehsan
Samir Passi
Q. V. Liao
Larry Chan
I-Hsiang Lee
Michael J. Muller
Mark O. Riedl
341
123
0
28 Jul 2021
Explainable AI for Robot Failures: Generating Explanations that Improve
  User Assistance in Fault Recovery
Explainable AI for Robot Failures: Generating Explanations that Improve User Assistance in Fault RecoveryIEEE/ACM International Conference on Human-Robot Interaction (HRI), 2021
Devleena Das
Siddhartha Banerjee
Sonia Chernova
250
136
0
05 Jan 2021
Aligning Faithful Interpretations with their Social Attribution
Aligning Faithful Interpretations with their Social AttributionTransactions of the Association for Computational Linguistics (TACL), 2020
Alon Jacovi
Yoav Goldberg
444
113
0
01 Jun 2020
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